MRI: Acquisition of a Heterogeneous High-Performance Computing Cluster Driven by Computational and Data-Intensive Multidisciplinary Research

南达科他州立大学(SDSU)将通过购买和部署先进的计算仪器，支持具有高度计算和数据密集型需求的区域研究和教育计划。这一倡议的目标将加速科学发现，促进积极参与，促进研究界的合作，并提供区域内的资源，以促进和提升多学科的STEM教育和研究。广泛的科学和工程领域将从此次收购中受益，包括气候学、卫星图像处理、国家食品安全和安全、细菌感染基因组学、抗生素耐药性和电网安全。该项目还将成为一个协调中心，支持整个区域未得到充分服务的社区的教育和研究需要。SDSU研究数字基础设施(RCI)内的团队将获得并实施一种强大的先进计算工具，以实现以下关键项目目标：(1)扩大和增强研究管道内的计算核心能力，利用矢量和并行计算的能力；(2)利用Open OnDemand和Science Gateways提高CPU和图形处理单元(GPU)资源的可用性；以及(3)扩大高成本效益计算工具的可访问性，使更多的用户能够使用。该系统设计采用了下一代计算机体系结构，硬件资源专门为提高计算能力而设计。该仪器将提供扩展研究应用程序的灵活性，允许用户自行提供资源，并促进新研究人员的访问。这将使用现成的开源软件资源和预先建立的科学工作流程来实现。该工具将作为SDSU RCI的计算核心，服务于从事研究和教育的研究人员、合作者、工作人员和学生。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

South Dakota State University (SDSU) will enable regional research and educational programs with high computational and data-intensive needs through the acquisition and deployment of an advanced computing instrument. The goals of this initiative will accelerate scientific discovery, promote active engagement, advance collaboration within the research community, and provide a resource within the region to advance and elevate multi-disciplinary STEM education and research. A breadth of science and engineering fields will benefit from this acquisition, including climatology, satellite image processing, national food safety and security, genomics of bacterial infections, antibiotic resistance, and power grid security. This project will also be a focal point for supporting the educational and research needs of underserved communities throughout the region. The team within SDSU Research Cyberinfrastructure (RCi) will acquire and implement a robust advanced computing instrument that accomplishes the following key project objectives: (1) Widening and boosting computing core capabilities within research pipelines that harness the power of vector and parallel computing; (2) Advancing the usability of CPU and Graphics Processing Unit (GPU) resources using Open OnDemand and Science Gateways; and (3) Amplifying the accessibility of highly cost-effective computational tools to a larger user base. The system design uses a next-generation computer architecture with hardware resources specifically designed for boosting computing capacity. The instrument will offer the flexibility of scaling research applications, allowing the user to self-provision resources and facilitating ease of access for new researchers. This will be achieved using off-the-shelf open-source software resources and pre-built scientific workflows. This instrument will serve as a computational core for RCi at SDSU, serving researchers, collaborators, staff, and students engaged in research and education.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.